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Job description
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TL;DR
Data Scientist (SQL/Python/Economics): Developing pricing and packaging strategies by analyzing usage, cost, and willingness-to-pay data with an accent on unit economics and revenue modeling. Focus on designing pricing experiments and building systems to operationalize pricing decisions.
Company
Lovable is a talent-dense software creation platform that enables users to transform raw ideas into real products using AI.
What you will do
- Own the analytics behind pricing and packaging, monitoring the impact of changes on revenue, conversion, and retention.
- Build models for unit economics, willingness to pay, and price sensitivity to drive concrete pricing bets.
- Design and execute pricing and packaging experiments and make decisive actions based on results.
- Develop systems to operationalize pricing decisions, including personalized discounting models.
- Collaborate with finance, product, and growth teams to sequence and implement pricing changes.
Requirements
- Strong proficiency in SQL, Python, applied statistics, and experimentation.
- Deep understanding of unit economics (LTV, margin, token/infrastructure costs, subscription/credit models).
- Ability to handle causal questions where standard A/B tests are not possible.
- Strategic judgment regarding the tradeoff between growth and monetization.
- Entrepreneurial spirit and ability to thrive with high autonomy.
- English: C1+ proficiency required as it is the company language.
Culture & Benefits
- Work within a small, talent-dense team emphasizing extreme ownership and high velocity.
- Low-ego collaboration environment focused on making a significant impact on the digital world.
- Modern tech stack including BigQuery, GCP, and AI-integrated tools.
Hiring process
- Introductory call with the recruiting team.
- Interview with the hiring manager.
- Take-home case study.
- "Most Impressive Project" session and cross-functional interviews.
- Final conversation with company leadership.
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